Who pays the price for high neuroticism? Moderators of longitudinal risks for depression and anxiety

2017 ◽  
Vol 47 (10) ◽  
pp. 1794-1805 ◽  
Author(s):  
J. R. Vittengl

BackgroundHigh neuroticism is a well-established risk for present and future depression and anxiety, as well as an emerging target for treatment and prevention. The current analyses tested the hypothesis that physical, social and socio-economic disadvantages each amplify risks from high neuroticism for longitudinal increases in depression and anxiety symptoms.MethodA national sample of adults (n = 7108) provided structured interview and questionnaire data in the Midlife Development in the United States Survey. Subsamples were reassessed roughly 9 and 18 years later. Time-lagged multilevel models predicted changes in depression and anxiety symptom intensity across survey waves.ResultsHigh neuroticism predicted increases in a depression/anxiety symptom composite across retest intervals. Three disadvantage dimensions – physical limitations (e.g. chronic illness, impaired functioning), social problems (e.g. less social support, more social strain) and low socio-economic status (e.g. less education, lower income) – each moderated risks from high neuroticism for increases in depression and anxiety symptoms. Collectively, high scores on the three disadvantage dimensions amplified symptom increases attributable to high neuroticism by 0.67 standard deviations. In contrast, neuroticism was not a significant risk for increases in symptoms among participants with few physical limitations, few social problems or high socio-economic status.ConclusionsRisks from high neuroticism are not shared equally among adults in the USA. Interventions preventing or treating depression or anxiety via neuroticism could be targeted toward vulnerable subpopulations with physical, social or socio-economic disadvantages. Moreover, decreasing these disadvantages may reduce mental health risks from neuroticism.

2020 ◽  
Author(s):  
Thomas Hull ◽  
Jacob Levine ◽  
Niels Bantilan ◽  
Angel Desai ◽  
Maimuna S. Majumder

Background: The novel coronavirus disease 2019 (COVID-19) has negatively impacted mortality, economic conditions, and mental health. A large scale study on psychological reactions to the pandemic to inform ongoing population-level symptom tracking and response to treatment is currently lacking.Methods: Average intake scores for standard depression and anxiety symptom scales were tracked from January 1, 2017 to June 9, 2020 for patients seeking treatment from a digital mental health service to gauge the relationship between COVID-19 and self-reported symptoms. We applied natural language processing (NLP) to unstructured therapy transcript data from patients seeking treatment during the height of the pandemic in the United States between March 1, 2020 and June 9, 2020 to identify words associated with COVID-19 mentions. This analysis was used to identify symptoms that were present beyond those assessed by standard depression and anxiety measures.Results: Depression and anxiety symptoms reported by 169,889 patients between January 1, 2017 and June 9, 2020 were identified. There was no detectable change in intake depression symptom scores. Intake anxiety symptom scores increased 1.42 scale points [95% CI: 1.18, 1.65] between March 15, 2020 and April 1, 2020, when scores peaked. In the transcript data of these 169,889 patients, plus an expanded sample of 49,267 patients without symptom reports, term frequency-inverse document frequency (tf-idf) identified 2,377 positively correlated and 661negatively correlated terms that were significantly (FDR<.01) associated with mentions of the virus. These terms were classifiable into 24 symptoms beyond those included in the diagnostic criteria for anxiety or depression.Conclusions: The COVID-19 pandemic may have increased intake anxiety symptoms for individuals seeking digital mental health treatment. NLP analyses suggest that standard symptom scales for depression and anxiety alone are inadequate to fully assess and track psychological reactions to the pandemic. Symptoms of grief, trauma, obsession-compulsion, agoraphobia, hypochondriasis, panic, and non- suicidal self-injury should be monitored as part of a new COVID-19 Syndrome category.


Author(s):  
Avik Ranjan Bhowmik ◽  
Md. Kamal Hossain ◽  
Nadia Chowdury ◽  
Md. Shahidul Islam

This paper aims at analyzing the socio-economic status of widows in the Jhenidah district and evaluate the impact of socio-economic status on the widows’ livelihood in society. For achieving the purpose of the study, the researchers collected the primary data by a structured questionnaire, and data were gathered from sixteen respondents from Jhenidah district by a convenient sampling method. The researchers in this study found that widows suffer from multiple social problems and restrictions. Moreover, the widows are feeling discouraged in their lives though they earn a satisfactory figure since dissatisfaction arises from the multiplicity of social problems for the widows.


2018 ◽  
Vol 13 (7) ◽  
pp. 332-336
Author(s):  
Tracy Perron ◽  
Kelly Hartt ◽  
Danielle McCann ◽  
Rachel McGowan ◽  
Natalie Segers

2009 ◽  
Vol 48 (1) ◽  
Author(s):  
David A. Swanson ◽  
Mary A. McGehee ◽  
Nazrul Hoque

2011 ◽  
Vol 41 (9) ◽  
pp. 1857-1866 ◽  
Author(s):  
A. Steptoe ◽  
G. J. Molloy ◽  
N. Messerly-Bürgy ◽  
A. Wikman ◽  
G. Randall ◽  
...  

BackgroundThe determinants of depression following acute coronary syndrome (ACS) are poorly understood. Triggering of ACS by emotional stress and low socio-economic status (SES) are predictors of adverse outcomes. We therefore investigated whether emotional triggering and low SES predict depression and anxiety following ACS.MethodThis prospective observational clinical cohort study involved 298 patients with clinically verified ACS. Emotional stress was assessed for the 2 h before symptom onset and compared with the equivalent period 24 h earlier using case-crossover methods. SES was defined by household income and education. Depression was measured with the Beck Depression Inventory and the Hamilton Rating Scale for Depression and anxiety with the Hospital Anxiety and Depression Scale 3 weeks after ACS and again at 6 and 12 months. Age, gender, ethnicity, marital status, the Global Registry of Acute Coronary Events risk score, duration of hospital stay and history of depression were included as covariates.ResultsEmotional stress during the 2-h hazard period was associated with increased risk of ACS (odds ratio 1.88, 95% confidence interval 1.01–3.61). Both low income and emotional triggering predicted depression and anxiety at 3 weeks and 6/12 months independently of covariates. The two factors interacted, with the greatest depression and anxiety in lower income patients who experienced acute emotional stress. Education was not related to depression.ConclusionsPatients who experience acute emotional stress during their ACS and are lower SES as defined by current affluence and access to resources are particularly vulnerable to subsequent depression and anxiety.


2017 ◽  
Author(s):  
Daniel Schneider ◽  
Orestes P Hastings

Income inequality has increased dramatically in the United States since the mid 1970s. This remarkable change in the distribution of household income has spurred a great deal of research on the social and economic consequences of exposure to high inequality. However, the empirical record on the effects of income inequality is mixed. In this paper, we suggest that previous research has generally overlooked a simple but important pathway through which inequality might manifest in daily life: inequality shapes the ability of women to outsource domestic labor by hiring others to perform it. One important venue where such dynamics might then manifest is in time spent on housework and in particular in the time divide in housework between women of high and low socio-economic status. We combine micro-data from the 2003-2013 American Time Use Survey with area-level data on income inequality to show the class divide in housework time between women with a college degree and from high earning households and women of lower socio-economic status is wider in more unequal places. We further assess whether this gap can be explained by domestic outsourcing by combining micro-data from the 2003-2013 Consumer Expenditure Survey with area-level inequality and show that the gap in spending for household services between households of high and low socio-economic status also increases in contexts of higher inequality.


2021 ◽  
Author(s):  
Byung Chun Oh

This paper explores the migration motives and the integration experiences of recent Korean immigrants in the Toronto CMA, who are significantly different from their previous cohorts in terms of migration motives, socio-economic status, and settlement experiences. These differences can be attributed to changes in social transformation and economic development in Korea as well as to accelerated globalization and global migration trends. Recent Korean immigrants are characterized as middle-income earners who possess higher levels of education, skills, and wealth, with a strong desire to educate their children in developed Western countries where English is an official language. Despite recent Korean immigrants' increased human capital, their labour market integration has experienced great difficulties mainly due to a lack of Canadian official language skills. In addition, since the end of the twentieth Century, Korean migrants have increasingly been choosing Canada over the United States as their destination of migration. This shift indicates that Koreans are looking for new answers in search of better lives for their futures.


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